"Streamflow prediction in River Rhine: Exploring combinations of bias-correcting forcing and bias-correcting flow
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"Streamflow prediction in River Rhine: Exploring combinations of bias-correcting forcing and bias-correcting flow
- 1. Streamflow prediction in River Rhine: Exploring combinations of bias-correcting forcing and bias-correcting flow Jan Verkade (Deltares and Delft University of Technology) James Brown (NOAA-NWS-OHD and UCAR)
- 3. Research design Raw forcing (T,P) Hydrologic model Raw flow Ensemble verification B-C forcing (T,P) Hydrologic model Raw forcing (T,P) Hydrologic model Scenario 1 Scenario 2 Baseline B-C streamflow B-C streamflow
- 4. Â
- 5. Data kindly provided by Florian Pappenberger @ ECMWF
- 6. Observed forcing data: E-OBS dataset Downloadable from KNMI @ http://eca.knmi.nl/
Hinweis der Redaktion
- Basin: Rhine basin (approx. 160e3 km2), focus on Moselle sub-basin Available modeling system: HBV rainfall runoff model at daily time step Within a Delft-FEWS forecast production system (CHPS)
- 3164 âissuedâ reforecasts between 1991 and 2010 1/10th-by-1/10th degree 30 days leadtime ï we use 10 days only
- E-OBS is a daily gridded observational dataset for precipitation, temperature and sea level pressure in Europe. The full dataset covers the period 1950-01-01 until 2011-06-30. It has originally been developed as part of the ENSEMBLES project (EU-FP6) and is now maintained and elaborated as part of the EURO4M project (EU-FP7).